Journal of Cancer Research and Clinical Oncology, том 147, издание 1, номера страниц: 49-59

Panel of potential lncRNA biomarkers can distinguish various types of liver malignant and benign tumors

Lazarevich Natalia L. 2, 3
Kustova Inna F. 2
Shavochkina Daria A. 2
Moroz Ekaterina A. 4
Kudashkin Nikolay E. 4
Patyutko Yuriy I. 4
Metelin Alexey V. 5
Kim Eduard F. 5
Zatsepin Timofei S. 1, 6
Тип документаJournal Article
Дата публикации2020-09-12
ИздательSpringer Nature
Название журналаJournal of Cancer Research and Clinical Oncology
Квартиль по SCImagoQ1
Квартиль по Web of ScienceQ2
Импакт-фактор 20214.32
ISSN01715216, 14321335
Cancer Research
General Medicine
Краткое описание
Purpose Liver cancers are among the deadliest malignancies due to a limited efficacy of early diagnostics, the lack of appropriate biomarkers and insufficient discrimination of different types of tumors by classic and molecular methods. In this study, we searched for novel long non-coding RNA (lncRNA) as well as validated several known candidates suitable as probable biomarkers for primary liver tumors of various etiology. Methods We described a novel lncRNA HELIS (aka “HEalthy LIver Specific”) and estimated its expression by RT-qPCR in 82 paired tissue samples from patients with hepatocellular carcinoma (HCC), cholangiocarcinoma (CCA), combined HCC-CCA, pediatric hepatoblastoma (HBL) and non-malignant hepatocellular adenoma (HCA) and focal nodular hyperplasia (FNH). Additionally, we examined expression of cancer-associated lncRNAs HULC, MALAT1, UCA1, CYTOR, LINC01093 and H19, which were previously studied mainly in HCC. Results We demonstrated that down-regulation of HELIS strongly correlates with carcinogenesis; whereas in tumors with non-hepatocyte origin (HBL, CCA) or in a number of poorly differentiated HCC, this lncRNA is not expressed. We showed that recently discovered LINC01093 is dramatically down-regulated in all malignant liver cancers; while in benign tumors LINC01093 expression is just twice decreased in comparison to adjacent samples. Conclusion Our study revealed that among all measured biomarkers only down-regulated HELIS and LINC01093, up-regulated CYTOR and dysregulated HULC are perspective for differential diagnostics of liver cancers; whereas others demonstrated discordant results and cannot be considered as potential universal biomarkers for this purpose.
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1. Burenina O.Y. и др. Panel of potential lncRNA biomarkers can distinguish various types of liver malignant and benign tumors // Journal of Cancer Research and Clinical Oncology. 2020. Т. 147. № 1. С. 49–59.


DO - 10.1007/s00432-020-03378-5

UR -

TI - Panel of potential lncRNA biomarkers can distinguish various types of liver malignant and benign tumors

T2 - Journal of Cancer Research and Clinical Oncology

AU - Burenina, Olga Y.

AU - Lazarevich, Natalia L.

AU - Kustova, Inna F.

AU - Shavochkina, Daria A.

AU - Moroz, Ekaterina A.

AU - Kudashkin, Nikolay E.

AU - Patyutko, Yuriy I.

AU - Metelin, Alexey V.

AU - Kim, Eduard F.

AU - Skvortsov, Dmitry A.

AU - Zatsepin, Timofei S.

AU - Rubtsova, Maria P.

AU - Dontsova, Olga A.

PY - 2020

DA - 2020/09/12

PB - Springer Science and Business Media LLC

SP - 49-59

IS - 1

VL - 147

SN - 0171-5216

SN - 1432-1335

ER -

BibTex |


doi = {10.1007/s00432-020-03378-5},

url = {},

year = 2020,

month = {sep},

publisher = {Springer Science and Business Media {LLC}},

volume = {147},

number = {1},

pages = {49--59},

author = {Olga Y. Burenina and Natalia L. Lazarevich and Inna F. Kustova and Daria A. Shavochkina and Ekaterina A. Moroz and Nikolay E. Kudashkin and Yuriy I. Patyutko and Alexey V. Metelin and Eduard F. Kim and Dmitry A. Skvortsov and Timofei S. Zatsepin and Maria P. Rubtsova and Olga A. Dontsova},

title = {Panel of potential {lncRNA} biomarkers can distinguish various types of liver malignant and benign tumors}


Burenina, Olga Y. et al. “Panel of Potential lncRNA Biomarkers Can Distinguish Various Types of Liver Malignant and Benign Tumors.” Journal of Cancer Research and Clinical Oncology 147.1 (2020): 49–59. Crossref. Web.